Bias due to left truncation and left censoring in longitudinal studies of developmental and disease processes

Kevin Cain, Sioban Harlow, Roderick Little, Bin Nan, Matheos Yosef, John Taffe, Michael R Elliott

Research output: Contribution to journalArticleResearchpeer-review

95 Citations (Scopus)


This paper has focused on estimating the marginal or unconditional distributions of X, Y, and D. Other types of analysis are also of interest, for example, the association of predictors, such as body mass index and smoking status, with X, D, or Y. Web Appendix 1 gives code for doing such an analysis, while accounting for left truncation or left censoring in the single-milestone case.
Original languageEnglish
Pages (from-to)1078 - 1084
Number of pages7
JournalAmerican Journal of Epidemiology
Issue number9
Publication statusPublished - 2011

Cite this